Cancer Medicine (Aug 2023)

The impact of preoperative waiting time in Stage II–III gastric or gastroesophageal junction cancer: A population‐based cohort study

  • Chih‐Chieh Yen,
  • Yi‐Hsin Yang,
  • Hsiu‐Ying Ku,
  • Huang‐Ming Hu,
  • Su‐Shun Lo,
  • Hung‐Chi Chang,
  • Yee Chao,
  • Jen‐Shi Chen,
  • Hsiu‐Po Wang,
  • Tsang‐En Wang,
  • Li‐Yuan Bai,
  • Ming‐Shiang Wu,
  • Chia‐Jui Yen,
  • Li‐Tzong Chen,
  • Yan‐Shen Shan

DOI
https://doi.org/10.1002/cam4.6320
Journal volume & issue
Vol. 12, no. 16
pp. 16906 – 16917

Abstract

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Abstract Background Gastrectomy remains the curative option in gastric cancer. However, the growing concern that preoperative waiting jeopardizes survival has not been fully addressed. The present population‐based cohort study aimed to clarify the impact of preoperative waiting time (PreWT). Methods We included patients with clinical Stage II–III gastric cancer who received curative surgery from 2008 to 2017 of Taiwan Cancer Registry. PreWT was defined as the time from endoscopic diagnosis to surgery. The prognostic impact on overall survival (OS) was evaluated with Cox and restricted cubic spline regressions. Results A total of 3059 patients with a median age of 68 years were evaluated. The median PreWT was 16 days (interquartile range, 11–24 days), and patients with a shorter PreWT were younger, had a more advanced disease and received adjuvant therapies. Despite a shorter OS occurring with prolonged PreWT (median OS by PreWT [days]: 7–13, 2.7 years; 14–20, 3.1 years; 21–27, 3.0 years; 28–34, 4.7 years; 35–31, 3.7 years; 42–48, 3.4 years; 49–118, 2.8 years; p = 0.029), the differences were not significant after adjustment. The Cox and restricted cubic spline regressions showed that prolonged PreWT was not a significant prognostic factor for OS (p = 0.719). Conclusions The population‐based study suggests that a PreWT of 49–118 days does not independently correlate with a poor prognosis in Stage II–III gastric cancer. The study provides rationale for a window period for preoperative therapies and patient optimization.

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